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We are seeking High School & College math teachers that may be interested in the following problem: "Detection of an Irregular (Human) Heart Beat" by Curve Fitting data sets to some math models (see attached file below). This type problem would be of great help for many future Engineering & Science students in industry. Do you know of any HS teachers that might be interested in teaching such? If so, please forward a copy of this msg. and attached file to them.

Thanks, Phil

PS: A computer disc drive mfg. company had a problem similar to this irregular heart beat problem, 1985. The disc drive model consisted of 3 modified Lorentz functions. The model was tried on 200 drives; 199 drives agreed with a small standard deviation. But, the last drive showed a~~major~~ defective drive. Thus solving a mfg. problem with a least-square curve fit. So, it can be done ... try it!

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Want to help solve world (math) problems?

=====================

Here is a typical cycle ... Problem to Solution

-------------------------------------------------------

• Find a Math model for a~~regular~~ or normal cycle; i.e. a Lorentzian, sinusoidal, or whatever series. If your model has 'n' components and works for both ~~regular~~ and ~~irregular~~ cycles you hit the jackpot! Your 'n' value must always be the same. Other values in a math model are called Parameters and their values will vary with each dataset.

• Build Pulse train: add 'i'~~regular~~ cycles together separated by Tmin and add 1, 2, or 'j' ~~irregular~~ cycles in order to build your problem. Next, find or build a 'black box' that can detect when a cycle is ~~irregular~~.

• Find or develop a 'pill' or 'black box' that will stop these~~irregular~~ cycles from occurring.

Learn Curve Fitting for Industrial Applications

-----------------------------------------------

With the Lorentz (function) where y = 1/(1+x*x), one can fit data to a wide variety of data. There is a Windows App called 'CurvFit' that has an option of a Lorentzian or Modified Lorentzian series; Sine & Damped Sine; and other series. Visit fortranCalculus.info/apps/curvfit.html. Please download, install, and run some of its demo files. It's free and includes source files for modifying CurvFit as you like.

If it looks okay to you, then find some example data set to fit on the web. For example, I used Google to search for "one-cycle heartbeat data -apple". When you find a one-cycle dataset, build a math model using my CurvFit app. A heart-beat math model may help other researchers discover what's wrong with a heart, or, other disease.

Would your students like to help find solutions to medical diseases/problems? Ask them to find a math model for one-cycle heart-beat data set problem using my CurvFit app. Suggest forwarding top 5 (or so) CurvFit input files with the files named after the creators or any 'username'; e.g. JimS (for Jim S...) or ElsaB (for Elsa B...). Link all of them with the same fileType of YYY (?). Be sure students add their 'notes' below the "20. >> Keep notes below" line. They should also Point out any unusual things that happen during a CurvFit run with their input (file) problem. Also a good place to put references; e.g. Data set came from the Oil Refinery field; or, Bob Jones provided this dataset from the magnetic disc drive field. (Adding the YYY fileType may help websites locate these problem-solutions, in the future.)

Add a write-up of a paragraph or two, stating the names of students that were involved in this exercise? I would then add your statement to my CurvFit app's manual file or ReadMe.txt files for future (free) downloads. Hope this would encourage your students.

How about asking your students to ask their parents, grandparents, & friends if they have a dataset that may help R & D folks solve their problems? The more folks involved the more excitement for the students.

Math folks:

-----------

Develop a math model of a regular one-cycle heartbeat. Try using a Lorentzian or Modified Lorentzian series. Download My (free) CurvFit app for more insight.

R & D folks:

-----------

Build a pulse train of regular cycle heart-beats and 1 or 2 or ??? irregular cycles. Build/develop a 'black box' what can detect irregular cycles.

Chemistry folks:

----------------

Find/develop a 'pill' or 'black box' that will stop future irregular cycles.

Irregular cycle problem solved!

===============================

Thanks, Phil

PS: A computer disc drive mfg. company had a problem similar to this irregular heart beat problem, 1985. The disc drive model consisted of 3 modified Lorentz functions. The model was tried on 200 drives; 199 drives agreed with a small standard deviation. But, the last drive showed a

------------

Want to help solve world (math) problems?

=====================

Here is a typical cycle ... Problem to Solution

-------------------------------------------------------

• Find a Math model for a

• Build Pulse train: add 'i'

• Find or develop a 'pill' or 'black box' that will stop these

Learn Curve Fitting for Industrial Applications

-----------------------------------------------

With the Lorentz (function) where y = 1/(1+x*x), one can fit data to a wide variety of data. There is a Windows App called 'CurvFit' that has an option of a Lorentzian or Modified Lorentzian series; Sine & Damped Sine; and other series. Visit fortranCalculus.info/apps/curvfit.html. Please download, install, and run some of its demo files. It's free and includes source files for modifying CurvFit as you like.

If it looks okay to you, then find some example data set to fit on the web. For example, I used Google to search for "one-cycle heartbeat data -apple". When you find a one-cycle dataset, build a math model using my CurvFit app. A heart-beat math model may help other researchers discover what's wrong with a heart, or, other disease.

Would your students like to help find solutions to medical diseases/problems? Ask them to find a math model for one-cycle heart-beat data set problem using my CurvFit app. Suggest forwarding top 5 (or so) CurvFit input files with the files named after the creators or any 'username'; e.g. JimS (for Jim S...) or ElsaB (for Elsa B...). Link all of them with the same fileType of YYY (?). Be sure students add their 'notes' below the "20. >> Keep notes below" line. They should also Point out any unusual things that happen during a CurvFit run with their input (file) problem. Also a good place to put references; e.g. Data set came from the Oil Refinery field; or, Bob Jones provided this dataset from the magnetic disc drive field. (Adding the YYY fileType may help websites locate these problem-solutions, in the future.)

Add a write-up of a paragraph or two, stating the names of students that were involved in this exercise? I would then add your statement to my CurvFit app's manual file or ReadMe.txt files for future (free) downloads. Hope this would encourage your students.

How about asking your students to ask their parents, grandparents, & friends if they have a dataset that may help R & D folks solve their problems? The more folks involved the more excitement for the students.

Math folks:

-----------

Develop a math model of a regular one-cycle heartbeat. Try using a Lorentzian or Modified Lorentzian series. Download My (free) CurvFit app for more insight.

R & D folks:

-----------

Build a pulse train of regular cycle heart-beats and 1 or 2 or ??? irregular cycles. Build/develop a 'black box' what can detect irregular cycles.

Chemistry folks:

----------------

Find/develop a 'pill' or 'black box' that will stop future irregular cycles.

Irregular cycle problem solved!

===============================

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Hi,

I'm the author of a textbook on modeling and simulations that should be helpful to this group.

This is a casebook of math problems from industry. The source code and output are listed. The problems solved range from Algebra thru Differential equations. Problems include Initial-Value, Boundary-Value, Inverse, etc. The equations may be non-linear, any degree, any order, implicit, etc. Codes are very short, normally 30 lines or less PLUS one's equations and sometimes plot code. Number of equations may be from 1 to 1,000 or more.

Teaching engineering, science and/or operations research student’s problem solving techniques that will work in the future is not easy. Problem solving requires a broad based knowledge in math and science as well as discernment and flexibility to challenge the way it has always been done in the past. Generally, an objective driven design will yield the best design in the least amount of time. Companies need engineers trained in setting objectives before they begin the time-consuming process of formulating and testing new concepts and designs.

Our textbook titled "Engineering Design Optimization using Calculus Level Methods: A Casebook Approach", http://fortranCalculus.info/textbooks , considers design from the pragmatic concerns of industry. It utilizes casebook studies of math problems with their solutions in real life situations. Because it encourages students to view themselves as part of the design team, this text is the next best thing to an on-the-job training. It shows how setting objectives to problem solving assignments can help students complete work quickly and efficiently, but it also stresses that while every situation is different, the approach remains the same: objective-driven engineers state a math model and an objective function for a given problem while leaving the solving to a calculus-level computer language/compiler.

Our textbook attempts to fill a gap in educational material in the mathematical problem solving arena. Traditional texts leave students in a simulation thinking mode. Simulations require many computer runs causing delays in solution and little gain, if any, in problem understanding. Simulations require a numerical algorithm to be meshed with their math model. In such form, math models are hard to recognize and discuss. Besides slowing their understanding, users lose confidence in program solutions.

This textbook tries to move today’s thinking from solving one problem at a time, to solving all of their project’s problems at once while tweaking parameters in order to achieve an optimum solution. This requires Calculus-level thinking. An analogy might be thinking in terms of Machine code, one bit at a time. Today, computer simulations have people thinking in terms of Algebraic code, one problem at a time. We are trying to move people to Calculus-level code, solving entire projects at a time. This will reduce development time and improve accuracy of their math models.

History: NASA funded the development of the first Calculus-level language through TRW called Prose. Prose became available to the public in 1974 through a national computer time-sharing network. Prose ran on large Control Data Corporation (CDC) 6600 computers. Automatic differentiation and operator overloading were key technologies for this project. I taught the Prose language to Engineers & Scientists in the San Francisco Bay Area from 1975 through 1979. Most national time-sharing computer networks died in the 1980s and thus went Prose. FortranCalculus is the next Calculus language on the horizon. It is in testing mode now and will soon be released on the web.

Book goal: get users thinking outside their box. For example, the Oil Refinery problem shows how one could solve oil production for one distillation unit, or one plant, or an entire corporation (i.e. many refineries) all at once! This may consist of one, 100, or 10,000 differential equations while searching for the best refinery(s) to produce products that have pollution by-products. The goal is to minimize pollution by choosing the location where each product is produced. Solve the whole problem in one run not just part of problem.

One reviewer wrote: "The most important pedagogical value the book could deliver is a sound grounding in calculus level thinking for engineering design optimization. This approach is as significant for engineering/science as object oriented programming has been for computer science.

Independent access to a computer system running the calculus tools would free the reader from having to attend a class. This would open up the market for the book quickly to practicing engineers."

Hope readers find this textbook helpful in their future work.

Phil

I'm the author of a textbook on modeling and simulations that should be helpful to this group.

This is a casebook of math problems from industry. The source code and output are listed. The problems solved range from Algebra thru Differential equations. Problems include Initial-Value, Boundary-Value, Inverse, etc. The equations may be non-linear, any degree, any order, implicit, etc. Codes are very short, normally 30 lines or less PLUS one's equations and sometimes plot code. Number of equations may be from 1 to 1,000 or more.

Teaching engineering, science and/or operations research student’s problem solving techniques that will work in the future is not easy. Problem solving requires a broad based knowledge in math and science as well as discernment and flexibility to challenge the way it has always been done in the past. Generally, an objective driven design will yield the best design in the least amount of time. Companies need engineers trained in setting objectives before they begin the time-consuming process of formulating and testing new concepts and designs.

Our textbook titled "Engineering Design Optimization using Calculus Level Methods: A Casebook Approach", http://fortranCalculus.info/textbooks , considers design from the pragmatic concerns of industry. It utilizes casebook studies of math problems with their solutions in real life situations. Because it encourages students to view themselves as part of the design team, this text is the next best thing to an on-the-job training. It shows how setting objectives to problem solving assignments can help students complete work quickly and efficiently, but it also stresses that while every situation is different, the approach remains the same: objective-driven engineers state a math model and an objective function for a given problem while leaving the solving to a calculus-level computer language/compiler.

Our textbook attempts to fill a gap in educational material in the mathematical problem solving arena. Traditional texts leave students in a simulation thinking mode. Simulations require many computer runs causing delays in solution and little gain, if any, in problem understanding. Simulations require a numerical algorithm to be meshed with their math model. In such form, math models are hard to recognize and discuss. Besides slowing their understanding, users lose confidence in program solutions.

This textbook tries to move today’s thinking from solving one problem at a time, to solving all of their project’s problems at once while tweaking parameters in order to achieve an optimum solution. This requires Calculus-level thinking. An analogy might be thinking in terms of Machine code, one bit at a time. Today, computer simulations have people thinking in terms of Algebraic code, one problem at a time. We are trying to move people to Calculus-level code, solving entire projects at a time. This will reduce development time and improve accuracy of their math models.

History: NASA funded the development of the first Calculus-level language through TRW called Prose. Prose became available to the public in 1974 through a national computer time-sharing network. Prose ran on large Control Data Corporation (CDC) 6600 computers. Automatic differentiation and operator overloading were key technologies for this project. I taught the Prose language to Engineers & Scientists in the San Francisco Bay Area from 1975 through 1979. Most national time-sharing computer networks died in the 1980s and thus went Prose. FortranCalculus is the next Calculus language on the horizon. It is in testing mode now and will soon be released on the web.

Book goal: get users thinking outside their box. For example, the Oil Refinery problem shows how one could solve oil production for one distillation unit, or one plant, or an entire corporation (i.e. many refineries) all at once! This may consist of one, 100, or 10,000 differential equations while searching for the best refinery(s) to produce products that have pollution by-products. The goal is to minimize pollution by choosing the location where each product is produced. Solve the whole problem in one run not just part of problem.

One reviewer wrote: "The most important pedagogical value the book could deliver is a sound grounding in calculus level thinking for engineering design optimization. This approach is as significant for engineering/science as object oriented programming has been for computer science.

Independent access to a computer system running the calculus tools would free the reader from having to attend a class. This would open up the market for the book quickly to practicing engineers."

Hope readers find this textbook helpful in their future work.

Phil

Add a comment...

Post has attachment

I an the author of a textbook/casebook on modeling & simulation. This is a casebook of math problems from industry. The source code and output are listed. The problems solved range from Algebra thru Differential equations. Problems include Initial-Value, Boundary-Value, Inverse, etc. The equations may be non-linear, any degree, any order, implicit, etc. Codes are very short, normally 30 lines or less PLUS one's equations and sometimes plot code. Number of equations may be from 1 to 1,000 or more.

Teaching engineering, science and/or operations research student’s problem solving techniques that will work in the future is not easy. Problem solving requires a broad based knowledge in math and science as well as discernment and flexibility to challenge the way it has always been done in the past. Generally, an objective driven design will yield the best design in the least amount of time. Companies need engineers trained in setting objectives before they begin the time-consuming process of formulating and testing new concepts and designs.

Our textbook, http://fortranCalculus.info/textbooks , considers design from the pragmatic concerns of industry. It utilizes casebook studies of math problems with their solutions in real life situations. Because it encourages students to view themselves as part of the design team, this text is the next best thing to an on-the-job training. It shows how setting objectives to problem solving assignments can help students complete work quickly and efficiently, but it also stresses that while every situation is different, the approach remains the same: objective-driven engineers state a math model and an objective function for a given problem while leaving the solving to a calculus-level computer language/compiler.

Our textbook attempts to fill a gap in educational material in the mathematical problem solving arena. Traditional texts leave students in a simulation thinking mode. Simulations require many computer runs causing delays in solution and little gain, if any, in problem understanding. Simulations require a numerical algorithm to be meshed with their math model. In such form, math models are hard to recognize and discuss. Besides slowing their understanding, users lose confidence in program solutions.

This textbook tries to move today’s thinking from solving one problem at a time, to solving all of their project’s problems at once while tweaking parameters in order to achieve an optimum solution. This requires Calculus-level thinking. An analogy might be thinking in terms of Machine code, one bit at a time. Today, computer simulations have people thinking in terms of Algebraic code, one problem at a time. We are trying to move people to Calculus-level code, solving entire projects at a time. This will reduce development time and improve accuracy of their math models.

History: NASA funded the development of the first Calculus-level language through TRW called Prose. Prose became available to the public in 1974 through a national computer time-sharing network. Prose ran on large Control Data Corporation (CDC) 6600 computers. Automatic differentiation and operator overloading were key technologies for this project. I taught the Prose language to Engineers & Scientists in the San Francisco Bay Area from 1975 through 1979. Most national time-sharing computer networks died in the 1980s and thus went Prose. FortranCalculus is the next Calculus language on the horizon. It is in testing mode now and will soon be released on the web.

Book goal: get users thinking outside their box. For example, the Oil Refinery problem shows how one could solve oil production for one distillation unit, or one plant, or an entire corporation (i.e. many refineries) all at once! This may consist of one, 100, or 10,000 differential equations while searching for the best refinery(s) to produce products that have pollution by-products. The goal is to minimize pollution by choosing the location where each product is produced. Solve the whole problem in one run not just part of problem.

One reviewer wrote: "The most important pedagogical value the book could deliver is a sound grounding in calculus level thinking for engineering design optimization. This approach is as significant for engineering/science as object oriented programming has been for computer science.

Independent access to a computer system running the calculus tools would free the reader from having to attend a class. This would open up the market for the book quickly to practicing engineers."

I hope that your engineers and scientists would find this software, http://fortranCalculus.info/apps/fc_compiler.html , helpful. Its free for the first 10 days where one can try many demos and your own problem.

Phil

Teaching engineering, science and/or operations research student’s problem solving techniques that will work in the future is not easy. Problem solving requires a broad based knowledge in math and science as well as discernment and flexibility to challenge the way it has always been done in the past. Generally, an objective driven design will yield the best design in the least amount of time. Companies need engineers trained in setting objectives before they begin the time-consuming process of formulating and testing new concepts and designs.

Our textbook, http://fortranCalculus.info/textbooks , considers design from the pragmatic concerns of industry. It utilizes casebook studies of math problems with their solutions in real life situations. Because it encourages students to view themselves as part of the design team, this text is the next best thing to an on-the-job training. It shows how setting objectives to problem solving assignments can help students complete work quickly and efficiently, but it also stresses that while every situation is different, the approach remains the same: objective-driven engineers state a math model and an objective function for a given problem while leaving the solving to a calculus-level computer language/compiler.

Our textbook attempts to fill a gap in educational material in the mathematical problem solving arena. Traditional texts leave students in a simulation thinking mode. Simulations require many computer runs causing delays in solution and little gain, if any, in problem understanding. Simulations require a numerical algorithm to be meshed with their math model. In such form, math models are hard to recognize and discuss. Besides slowing their understanding, users lose confidence in program solutions.

This textbook tries to move today’s thinking from solving one problem at a time, to solving all of their project’s problems at once while tweaking parameters in order to achieve an optimum solution. This requires Calculus-level thinking. An analogy might be thinking in terms of Machine code, one bit at a time. Today, computer simulations have people thinking in terms of Algebraic code, one problem at a time. We are trying to move people to Calculus-level code, solving entire projects at a time. This will reduce development time and improve accuracy of their math models.

History: NASA funded the development of the first Calculus-level language through TRW called Prose. Prose became available to the public in 1974 through a national computer time-sharing network. Prose ran on large Control Data Corporation (CDC) 6600 computers. Automatic differentiation and operator overloading were key technologies for this project. I taught the Prose language to Engineers & Scientists in the San Francisco Bay Area from 1975 through 1979. Most national time-sharing computer networks died in the 1980s and thus went Prose. FortranCalculus is the next Calculus language on the horizon. It is in testing mode now and will soon be released on the web.

Book goal: get users thinking outside their box. For example, the Oil Refinery problem shows how one could solve oil production for one distillation unit, or one plant, or an entire corporation (i.e. many refineries) all at once! This may consist of one, 100, or 10,000 differential equations while searching for the best refinery(s) to produce products that have pollution by-products. The goal is to minimize pollution by choosing the location where each product is produced. Solve the whole problem in one run not just part of problem.

One reviewer wrote: "The most important pedagogical value the book could deliver is a sound grounding in calculus level thinking for engineering design optimization. This approach is as significant for engineering/science as object oriented programming has been for computer science.

Independent access to a computer system running the calculus tools would free the reader from having to attend a class. This would open up the market for the book quickly to practicing engineers."

I hope that your engineers and scientists would find this software, http://fortranCalculus.info/apps/fc_compiler.html , helpful. Its free for the first 10 days where one can try many demos and your own problem.

Phil

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