Mathematical optimization deals with maximizing or minimizing an objective function by choosing values from within an allowed feasible set of possible values.
What is an NP-complete problem? Why is it such an important topic in computer science?
algorithm language-agnostic mathematical-optimization theory np-completeWhen I trained my neural network with Theano or Tensorflow, they will report a variable called "loss" per epoch. How …
machine-learning neural-network mathematical-optimization deep-learning objective-functionIs there any formula for this series "1 + 1/2 + 1/3 + --- + 1/n = ?" I think it is a harmonic number in a form of …
sum mathematical-optimization seriesStack Overflow has this question answered in many other languages, but not C. So I thought I'd ask, since I …
c math optimization mathematical-optimizationWhat's the recommended package for constrained non-linear optimization in python ? The specific problem I'm trying to solve is this: I …
python mathematical-optimization cvxpyFor a group project, we are attempting to make a game, where functions are executed whenever a player forms a …
c++ opencv mathematical-optimizationI am using CPLEX for solving huge optimization models (more than 100k variables) now I'd like to see if I …
mathematical-optimization linear-programming convex-optimization cplexI am trying to build a neural network from scratch. Across all AI literature there is a consensus that weights …
machine-learning neural-network artificial-intelligence mathematical-optimization gradient-descentApproach 1: C(n,r) = n!/(n-r)!r! Approach 2: In the book Combinatorial Algorithms by wilf, i have found this: C(…
c performance algorithm mathematical-optimization binomial-coefficientsExpectation Maximization (EM) is a kind of probabilistic method to classify data. Please correct me if I am wrong if …
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