The following text field will produce suggestions that follow it as you type.

Home

Barnes and Noble

Inverse problems with sparsity constraints: Convergence rates and exact recovery

Unfortunately, this item is no longer available, but we found some similar items you might like.

You May Also Like

Theoretical Foundations and Numerical Methods for Sparse Recovery / Edition 1
Barnes and Noble

Theoretical Foundations and Numerical Methods for Sparse Recovery / Edition 1

From Barnes and Noble
Approximate Global Convergence and Adaptivity for Coefficient Inverse Problems / Edition 1
Barnes and Noble

Approximate Global Convergence and Adaptivity for Coefficient Inverse Problems / Edition 1

From Barnes and Noble
Stationarity and Convergence in Reduce-or-Retreat Minimization
Barnes and Noble

Stationarity and Convergence in Reduce-or-Retreat Minimization

From Barnes and Noble
Inverse Problems and Large-Scale Computations
Barnes and Noble

Inverse Problems and Large-Scale Computations

From Barnes and Noble
Convex Optimization: Algorithms and Complexity
Barnes and Noble

Convex Optimization: Algorithms and Complexity

From Barnes and Noble
Approximation of Stochastic Invariant Manifolds: Stochastic Manifolds for Nonlinear SPDEs I
Barnes and Noble

Approximation of Stochastic Invariant Manifolds: Stochastic Manifolds for Nonlinear SPDEs I

From Barnes and Noble
Exact and Fast Algorithms for Mixed-Integer Nonlinear Programming
Barnes and Noble

Exact and Fast Algorithms for Mixed-Integer Nonlinear Programming

From Barnes and Noble
Iterative Methods for Approximate Solution of Inverse Problems / Edition 1
Barnes and Noble

Iterative Methods for Approximate Solution of Inverse Problems / Edition 1

From Barnes and Noble
Iterative Solution of Large Sparse Systems of Equations / Edition 2
Barnes and Noble

Iterative Solution of Large Sparse Systems of Equations / Edition 2

From Barnes and Noble
Compressed Sensing & Sparse Filtering
Barnes and Noble

Compressed Sensing & Sparse Filtering

From Barnes and Noble
On the extraction of computational content from noneffective convergence proofs in analysis
Barnes and Noble

On the extraction of computational content from noneffective convergence proofs in analysis

From Barnes and Noble
Optimality Conditions: Abnormal and Degenerate Problems
Barnes and Noble

Optimality Conditions: Abnormal and Degenerate Problems

From Barnes and Noble
A Direct Method for Parabolic PDE Constrained Optimization Problems
Barnes and Noble

A Direct Method for Parabolic PDE Constrained Optimization Problems

From Barnes and Noble
Low-Rank Semidefinite Programming: Theory and Applications
Barnes and Noble

Low-Rank Semidefinite Programming: Theory and Applications

From Barnes and Noble
Stochastic Cauchy Problems in Infinite Dimensions: Generalized and Regularized Solutions / Edition 1
Barnes and Noble

Stochastic Cauchy Problems in Infinite Dimensions: Generalized and Regularized Solutions / Edition 1

From Barnes and Noble
Approximate Solution of Non-Symmetric Generalized Eigenvalue Problems and Linear Matrix Equations on HPC Platforms
Barnes and Noble

Approximate Solution of Non-Symmetric Generalized Eigenvalue Problems and Linear Matrix Equations on HPC Platforms

From Barnes and Noble
Powered by Adeptmind