Questions tagged [minimization]

Minimization is a subclass of mathematical optimization where given a cost or objective function, the goal is to choose the best set of parameters that will minimize the value given by this function.

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Minimization of number of itererations by adjusting input parameters in Java

I was inspired by this question XOR Neural Network in Java Briefly, a XOR neural network is trained and the number of iterations required to complete the training depends on seven parameters (alpha, gamma3_min_cutoff, gamma3_max_cutoff,…
Stepan
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Matlab non-linear binary Minimisation

I have to set up a phoneme table with a specific probability distribution for encoding things. Now there are 22 base elements (each with an assigned probability, sum 100%), which shall be mapped on a 12 element table, which has desired element…
flok3r
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GNU Scientific Library: cannot find minimum despite being in range

I am trying to find the minimum of a function of mine using C++. However, upon attempting to run the code, I am returned the following error: gsl: fsolver.c:117: ERROR: x_minimum must lie inside interval (lower < x < upper) Despite knowing that my…
kalle
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select optimal column vector from a matrix subject to a localised goal vector constraint

How to automatically select the column vector of a matrix within which the scalar values in a subset of elements is closest to those in a predefined goal vector of the same sub set?
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minimize an anonymous function via fminunc with two inputs vectors (matlab)

You can minimize a function using fminunc like this: x = linspace(-2,2,1000); f0 = -x.^2; ftest1 = @(a) a(1)*exp(-a(2)*x.^2); fmin1 = @(a) trapz(x,(ftest1(a) - f0).^2); [a1,fval] = fminunc(fmin1,rand(1,2)); plot(x,f0,x,ftest1(a1)); Is…
anon01
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Optimize mysql query joining table

Please advice how to optimize below query and minimize query loading.. $query = "select …
Gua Syed
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Integrating gulp in building .war file

I am interested in minifying and concatenating the css and js files of my application. I am able to automate this with gulp, as outlined in this tutorial: https://travismaynard.com/writing/getting-started-with-gulp I am using netbeans to generate…
theyuv
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How can Minizinc be used to solve a weighted constraint satisfaction problem_?

Given a weighted constraint satisfaction problem (X, C, k) where X is a set of variables, C is a set of soft constraints and k > 0 is an integer or infinity; how can this be translated into a minizinc source file? Each constraint in C is a function…
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To minimizing the sum of two distances from the number

I have a homework. The homework is like that There is the number X, and array A and array B whose data type is int. and I should find the A[I]+B[J](0<=I<=A.length, 0<=J<=B.length) which is closest to X. First, I tried to find the answer by testing…
Volnyar
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How to return parameters from all iterations of spicy.optimize.minimize

I am using scipy.optimize.fmin to optimize the Rosenbrock function: import scipy import bumpy as np def rosen(x): """The Rosenbrock function""" return sum(100.0*(x[1:]-x[:-1]**2.0)**2.0 + (1-x[:-1])**2.0) x0 = np.array([1.3, 0.7, 0.8, 1.9,…
Ellis Valentiner
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Minimization using a Greedy Algorithm

Theres a problem such that there are n houses a1,...an on a straight line. You want to build facilities such that each house is at most distance X from a facility. There are p locations b1,...bp that the facilities can be built. I am trying to…
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2-Dimensional Minimization without Derivatives and Ignoring certain Input Parameters on the go

I have a Function V which depends on two variables v1 and v2 and a parameter-Array p containing 15 Parameters. I want to Minimize my Function V regarding v1 and v2, but there is no closed expression for my Function, so I can't build and use the…
MrBaer
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ContrOptim Function- Error in Argument

I'm trying to replicate the Excel Solver in R- which is basically a constraint optimization problem I'm trying to minimize the cost per action which is total spend/ total actions which equals to the below function with a few constraints. CPA…
Mariam Z.
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Algorithm to find a value that gives the minimum output for two or equations

Suppose I have two equations with only one variable (free parameter) x and that k1 and k2 are constants. I would like to solve for: f(x) + k1 = 0 & g(x) + k2 = 0 ... h(x) + kn = 0 Of course there is no value of x that satisfies all of these…
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Matlab fit 3D data points with implicit function

I am trying to fit 3D data points (>1000) with the implicit function of a cylinder (5 parameters : a,b,c,d,r) : -r +…
B.jour
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