Trust-region methods in TypeScript
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Jun 19, 2019 - TypeScript
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trust-region
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assignments and projects of advanced optimization course
conjugation
simulated-annealing
interior-point-method
newtons-method
steepest-descent
trust-region
augmented-lagrangian
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Aug 22, 2022 - Jupyter Notebook
Review of the Noisy Trust Region Method
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May 9, 2023 - Jupyter Notebook
Nonsmooth Bilevel Parameter Learning of Imaging Variational Models
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Jun 19, 2023 - Python
Implementation of Trust Region and Gradient Descent methods for Multinomial Regression
optimization
line-search
mlr
optimization-algorithms
multiclass-logistic-regression
armijo
trust-region
cauchy-point
trust-region-optimization
armijo-condition
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May 15, 2024 - Jupyter Notebook
Trust region optimization in C++
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Oct 4, 2021 - C++
Stochastic Quasi-Newton Methods in a Trust Region Framework (MATLAB implementation)
tutorial
deep-neural-networks
matlab
image-classification
l-bfgs
trust-region
deep-learning-toolbox
stochastic-training-algorithm
limited-memory-quasi-newton-updates
l-sr1
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Mar 26, 2024 - MATLAB
Optimization course assignments under the supervision of Dr. Maryam Amirmazlaghani
optimization
constrained-optimization
line-search
conjugate-gradient
dogleg-method
quasi-newton
primal-dual
newton-method
unconstrained-optimization
trust-region
dogleg-algorithm
trust-region-dogleg-algorithm
barrier-method
cauchy-point
steepest-descent-direction
newton-direction
linear-conjugate-gradient
log-barrier
primal-dual-interior-point
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Jul 6, 2019 - Jupyter Notebook
Distributed surrogate-assisted evolutionary methods for multi-objective optimization of high-dimensional dynamical systems
python
optimization
mpi
distributed-computing
distributed
evolutionary-algorithms
mpi-applications
gaussian-processes
mpi4py
nsga2
cmaes
evolution-strategies
gpflow
trust-region
smpso
gpytorch
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Oct 24, 2024 - Python
Solve nonlinear systems of equations and nonlinear least squares in Julia
optimization
julia
solver
scientific-computing
nonlinear-equations
nonlinear-optimization
dogleg-method
trust-region
nonlinear-least-squares
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Oct 1, 2024 - Julia
Subsampled Riemannian trust-region (RTR) algorithms
big-data
optimization
optimization-algorithms
gradient-descent-algorithm
stochastic-optimizers
stochastic-gradient-descent
sampling-methods
subsample
large-scale-optimizations
riemannian-geometry
riemannian-manifold
trust-region
sub-sampling
second-order-optimization
riemannian-optimization
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Jan 5, 2023 - MATLAB
Unconstrained optimization algorithms in python, line search and trust region methods
optimization
line-search
cauchy
bfgs
dogleg-method
quasi-newton
unconstrained-optimization
steepest-descent
trust-region
dogleg-algorithm
trust-region-dogleg-algorithm
cauchy-point
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Dec 19, 2018 - Jupyter Notebook
Solving the Trust Region Subproblem as an Eigenproblem in Julia
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Oct 1, 2021 - Julia
Trust Region Optimization in Python
python
optimization
optimizer
hacktoberfest
optimization-algorithms
trust-region
trust-region-methods
trust-region-optimization
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Jun 2, 2023 - Python
Python implementation of some numerical (optimization) methods
python
machine-learning
ai
optimization
machine-learning-algorithms
mathematics
numerical-methods
numerical-optimization
nelder-mead
bfgs
dogleg-method
trust-region-policy-optimization
trust-region
dogleg-algorithm
trust-region-dogleg-algorithm
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Feb 4, 2021 - Python
A large scale non-linear optimization library
c-plus-plus
computer-vision
structure-from-motion
levenberg-marquardt
conjugate-gradient
bundle-adjustment
numerical-optimization
nonlinear-programming
bfgs
l-bfgs
nonlinear-optimization-algorithms
gauss-newton
trust-region
nonlinear-least-squares
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Oct 24, 2024 - C++
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