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cc @gkemlin @niklasschmitz
DFT is all about the mapping Hext -> P. For AD/Newton we need the map dHext -> dP. Conceptually dP = (Ω+K)^-1 dHext. This is feasible in pw because 1) we don't need the …
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Newton’s current implementation does not give the opportunity for the user , neither to choose between different process models (invariants) ,when describing a physical system, nor to create constrain…
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Include a scalar step-size to newton's method. There is some discussion of this in Numerical Recipes 9.7.
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Newton currently parses input twice, once to get dimension information, and then again later. This is wasteful.
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Relevant conversation
https://psm.slack.com/archives/D0NTASB6X/p1488489574000016
which is copied at the bottom of this issue
If there are multiple invariants with same signatures, then the Newton…
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- progtypeOfFile
- outputFilePath (#288)
- primeNumbersIndex
- currentParameterNumber
- scalarIntegralLists
- vectorIntegralLists
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When trying to sympify an expression with newton unit abreviated ("N"), it raises an exception because it considered "N" as an expression and not as a unit, as you can see below:
```
**>>> sympify…
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# Summary
Putinar cerificates to verify that a polynomial matrix $M(x)$ is nonnegative on a semialgebraic set $K$ are more expensive than necessary due to scalarization.
# Example
### Problem
…
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Market data can give volatility as 0. Understand what this means and how it should be properly handled.
Functions (to edit)
1. Newton-Raphson
2. Bisection
implied_volatility.py
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The new `newtonpoly` functionality adds a dependency on the optimization toolbox for solving a linear program. Currently the user will simply get an error:
```matlab
Error using optimoptions (line…