1990, ISBN 0198563329, xiii, 304

Book

1905, American Mathematical Society.

eBook

1953, Rice Institute pamphlet., Volume Nov. 1953, 57

Book

2012, ISBN 9781578087532, viii, 465

"This monograph is intended for researchers in computational sciences, and as a reference book for an advanced numerical-functional analysis or computer...

MATHEMATICS / Number Systems | MATHEMATICS / Applied | Functional analysis | Numerical functions

MATHEMATICS / Number Systems | MATHEMATICS / Applied | Functional analysis | Numerical functions

Book

2010, ISBN 0521191599, xvii, 600

"This book is a comprehensive treatment of contemporary quasi-Monte Carlo methods, digital nets and sequences, and discrepancy theory which starts from scratch...

Sequences (Mathematics) | Monte Carlo method | Numerical integration | Nets (Mathematics) | Digital filters (Mathematics)

Sequences (Mathematics) | Monte Carlo method | Numerical integration | Nets (Mathematics) | Digital filters (Mathematics)

Book

1981, Mathematics in science and engineering, ISBN 0127579400, Volume 154, xix, 257

Book

1975, ISBN 9780080180960, 2 v. (xlviii, 666 p.)

Book

2014, 1, Elsevier insights, ISBN 0128010010, xiii, 348

The author's goal is a rigorous presentation of the fundamentals of analysis, starting from elementary level and moving to the advanced coursework. The...

Mathematical analysis | Analysis | Mathematics | Math

Mathematical analysis | Analysis | Mathematics | Math

Book

2008, 1, ISBN 9780691132983, xiv, 224

Many problems in the sciences and engineering can be rephrased as optimization problems on matrix search spaces endowed with a so-called manifold structure....

Mathematical optimization | Mathematics | Technology | Matrices | Algorithms | Math

Mathematical optimization | Mathematics | Technology | Matrices | Algorithms | Math

Book

Advances in Mathematics, ISSN 0001-8708, 07/2017, Volume 314, pp. 124 - 184

On a sub-Riemannian manifold we define two types of Laplacians. The , as the divergence of the horizontal gradient, once a volume is fixed, and the , as the...

Sub-Riemannian volume | Sub-Laplacian | Convergence of random walks | Sub-Riemannian geometry | MATHEMATICS | CURVATURE-DIMENSION INEQUALITIES | MANIFOLDS | Probability | Mathematics | Optimization and Control | Differential Geometry | Metric Geometry

Sub-Riemannian volume | Sub-Laplacian | Convergence of random walks | Sub-Riemannian geometry | MATHEMATICS | CURVATURE-DIMENSION INEQUALITIES | MANIFOLDS | Probability | Mathematics | Optimization and Control | Differential Geometry | Metric Geometry

Journal Article

Journal of Optimization Theory and Applications, ISSN 0022-3239, 3/2017, Volume 172, Issue 3, pp. 874 - 913

The Douglas–Rachford and alternating direction method of multipliers are two proximal splitting algorithms designed to minimize the sum of two proper lower...

Finite activity identification | 65K05 | Mathematics | Theory of Computation | Optimization | Partial smoothness | Calculus of Variations and Optimal Control; Optimization | 49J52 | 90C25 | Douglas–Rachford | 65K10 | Applications of Mathematics | Engineering, general | Operation Research/Decision Theory | Local linear convergence | ADMM | Douglas-Rachford | MATHEMATICS, APPLIED | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | ALGORITHM | LINEAR CONVERGENCE | Analysis | Methods | Algorithms | Studies | Topological manifolds | Mathematical models | Convergence | Conjugates | Splitting | Multipliers | Mathematical analysis | Manifolds (mathematics) | Signal and Image Processing | Information Theory | Functional Analysis | Numerical Analysis | Computer Science | Optimization and Control | Statistics | Machine Learning | Statistics Theory

Finite activity identification | 65K05 | Mathematics | Theory of Computation | Optimization | Partial smoothness | Calculus of Variations and Optimal Control; Optimization | 49J52 | 90C25 | Douglas–Rachford | 65K10 | Applications of Mathematics | Engineering, general | Operation Research/Decision Theory | Local linear convergence | ADMM | Douglas-Rachford | MATHEMATICS, APPLIED | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | ALGORITHM | LINEAR CONVERGENCE | Analysis | Methods | Algorithms | Studies | Topological manifolds | Mathematical models | Convergence | Conjugates | Splitting | Multipliers | Mathematical analysis | Manifolds (mathematics) | Signal and Image Processing | Information Theory | Functional Analysis | Numerical Analysis | Computer Science | Optimization and Control | Statistics | Machine Learning | Statistics Theory

Journal Article

Archive for Rational Mechanics and Analysis, ISSN 0003-9527, 3/2017, Volume 223, Issue 3, pp. 1307 - 1335

We consider a single disk moving under the influence of a two dimensional viscous fluid and we study the asymptotic as the size of the solid tends to zero. If...

Physics, general | Fluid- and Aerodynamics | Theoretical, Mathematical and Computational Physics | Complex Systems | Physics | Classical Mechanics | LIMIT BEHAVIOR | MATHEMATICS, APPLIED | DOMAIN | MECHANICS | NAVIER-STOKES EQUATIONS | 2-DIMENSIONAL MOTION | THIN OBSTACLE | BODIES | BOUNDARY | WEAK SOLUTIONS | SIEVE | FLOW | Mathematical analysis | Decay | Rigid-body dynamics | Texts | Estimates | Optimization | Navier-Stokes equations | Convergence | Mathematics | Information Retrieval | Analysis of PDEs | General Mathematics | Computer Science

Physics, general | Fluid- and Aerodynamics | Theoretical, Mathematical and Computational Physics | Complex Systems | Physics | Classical Mechanics | LIMIT BEHAVIOR | MATHEMATICS, APPLIED | DOMAIN | MECHANICS | NAVIER-STOKES EQUATIONS | 2-DIMENSIONAL MOTION | THIN OBSTACLE | BODIES | BOUNDARY | WEAK SOLUTIONS | SIEVE | FLOW | Mathematical analysis | Decay | Rigid-body dynamics | Texts | Estimates | Optimization | Navier-Stokes equations | Convergence | Mathematics | Information Retrieval | Analysis of PDEs | General Mathematics | Computer Science

Journal Article

Communications in Nonlinear Science and Numerical Simulation, ISSN 1007-5704, 03/2017, Volume 44, pp. 424 - 448

In this article, we study the continuous and discrete fractional persistence problem which looks for the persistence of properties of a given classical ( )...

Local truncation error | Systems of fractional differential equations | Non-standard difference methods | Positivity | Convergence | MATHEMATICS, APPLIED | PHYSICS, FLUIDS & PLASMAS | VIABILITY | DIFFERENTIAL-EQUATIONS | PHYSICS, MATHEMATICAL | SCHEME | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | MECHANICS | Algorithms | Numerical analysis | Differential equations | Mathematics - Numerical Analysis | Dynamical Systems | Analysis of PDEs | Numerical Analysis | Probability | Algebraic Geometry | Mathematics | Optimization and Control | Statistics

Local truncation error | Systems of fractional differential equations | Non-standard difference methods | Positivity | Convergence | MATHEMATICS, APPLIED | PHYSICS, FLUIDS & PLASMAS | VIABILITY | DIFFERENTIAL-EQUATIONS | PHYSICS, MATHEMATICAL | SCHEME | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | MECHANICS | Algorithms | Numerical analysis | Differential equations | Mathematics - Numerical Analysis | Dynamical Systems | Analysis of PDEs | Numerical Analysis | Probability | Algebraic Geometry | Mathematics | Optimization and Control | Statistics

Journal Article

Neural Networks, ISSN 0893-6080, 07/2006, Volume 19, Issue 6-7, pp. 812 - 816

Since the discovery of the SOM's by T. Kohonen, many results that provide a better description of their behaviour have been found. Most of them are very...

Limit theorems | Magnification factor | Topology preservation | Grid equilibrium | OPTIMAL QUANTIZERS | MAPS | topology preservation | CONVERGENCE | grid equilibrium | KOHONEN ALGORITHM | limit theorems | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | magnification factor | Models, Theoretical | Fractals | Mathematics | Other Statistics | Probability | Statistics

Limit theorems | Magnification factor | Topology preservation | Grid equilibrium | OPTIMAL QUANTIZERS | MAPS | topology preservation | CONVERGENCE | grid equilibrium | KOHONEN ALGORITHM | limit theorems | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | magnification factor | Models, Theoretical | Fractals | Mathematics | Other Statistics | Probability | Statistics

Journal Article

IEEE Transactions on Information Theory, ISSN 0018-9448, 03/2018, Volume 64, Issue 3, pp. 1725 - 1737

This paper studies least-square regression penalized with partly smooth convex regularizers. This class of penalty functions is very large and versatile, and...

Buildings | sensitivity analysis | partial smoothness | sparsity | Matrix decomposition | Manifolds | Inverse problems | Imaging | regression | low-rank | Convex functions | model consistency | Mathematical model | Regularization | inverse problems | SPARSE REPRESENTATIONS | COMPUTER SCIENCE, INFORMATION SYSTEMS | RANK | IMAGE DECOMPOSITION | ENGINEERING, ELECTRICAL & ELECTRONIC | RECOVERY | LASSO | CONVERGENCE | NOISY | SELECTION CONSISTENCY | Parameter estimation | Statistical analysis | Noise | Consistency | Recovery | Complexity | Studies | Penalty function | Algorithms | Least squares | Mathematical models | Dimensional stability | Signal and Image Processing | Information Theory | Functional Analysis | Numerical Analysis | Computer Science | Mathematics | Optimization and Control | Statistics | Machine Learning | Statistics Theory

Buildings | sensitivity analysis | partial smoothness | sparsity | Matrix decomposition | Manifolds | Inverse problems | Imaging | regression | low-rank | Convex functions | model consistency | Mathematical model | Regularization | inverse problems | SPARSE REPRESENTATIONS | COMPUTER SCIENCE, INFORMATION SYSTEMS | RANK | IMAGE DECOMPOSITION | ENGINEERING, ELECTRICAL & ELECTRONIC | RECOVERY | LASSO | CONVERGENCE | NOISY | SELECTION CONSISTENCY | Parameter estimation | Statistical analysis | Noise | Consistency | Recovery | Complexity | Studies | Penalty function | Algorithms | Least squares | Mathematical models | Dimensional stability | Signal and Image Processing | Information Theory | Functional Analysis | Numerical Analysis | Computer Science | Mathematics | Optimization and Control | Statistics | Machine Learning | Statistics Theory

Journal Article

Journal of Computational Physics, ISSN 0021-9991, 03/2015, Volume 284, pp. 389 - 418

The multislope concept has been recently introduced in the literature to deal with MUSCL reconstructions on triangular and tetrahedral unstructured meshes in...

General unstructured meshes | Multislope MUSCL technique | CFL-dependent limiters | Cell-centered finite volume method | DESIGN | PHYSICS, MATHEMATICAL | FLOW | ACCURACY | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | HIGH-RESOLUTION SCHEMES | CONVERGENCE | LIMITERS | HYPERBOLIC CONSERVATION-LAWS | Specific gravity | Reconstruction | Slopes | Accuracy | Discretization | High density | Mathematical analysis | Mathematical models | Topology | Dealing | Fluid Dynamics | Computational Physics | Astrophysics | Distributed, Parallel, and Cluster Computing | Mathematical Physics | Analysis of PDEs | Mathematics | Plasma Physics | Physics | Mathematical Software | Functional Analysis | Numerical Analysis | Computer Science | Mechanics | Mechanics of the fluids | Reactive fluid environment | Fluids mechanics | Optimization and Control | Plasmas | Engineering Sciences | Other

General unstructured meshes | Multislope MUSCL technique | CFL-dependent limiters | Cell-centered finite volume method | DESIGN | PHYSICS, MATHEMATICAL | FLOW | ACCURACY | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | HIGH-RESOLUTION SCHEMES | CONVERGENCE | LIMITERS | HYPERBOLIC CONSERVATION-LAWS | Specific gravity | Reconstruction | Slopes | Accuracy | Discretization | High density | Mathematical analysis | Mathematical models | Topology | Dealing | Fluid Dynamics | Computational Physics | Astrophysics | Distributed, Parallel, and Cluster Computing | Mathematical Physics | Analysis of PDEs | Mathematics | Plasma Physics | Physics | Mathematical Software | Functional Analysis | Numerical Analysis | Computer Science | Mechanics | Mechanics of the fluids | Reactive fluid environment | Fluids mechanics | Optimization and Control | Plasmas | Engineering Sciences | Other

Journal Article

Applied and Computational Harmonic Analysis, ISSN 1063-5203, 11/2019, Volume 47, Issue 3, pp. 730 - 758

We provide a new estimator of integral operators with smooth kernels, obtained from a set of scattered and noisy impulse responses. The proposed approach...

Integral operator | Minimax | Radial basis functions | Numerical complexity | Estimator | Convergence rate | Scattered approximation | Reproducing Kernel Hilbert Spaces | MATHEMATICS, APPLIED | POINT-SPREAD FUNCTION | APPROXIMATION | IDENTIFICATION | INTERPOLATION | SOBOLEV SPACES | MATRICES | Mathematics | Information Theory | Engineering Sciences | Statistics | Numerical Analysis | Signal and Image processing

Integral operator | Minimax | Radial basis functions | Numerical complexity | Estimator | Convergence rate | Scattered approximation | Reproducing Kernel Hilbert Spaces | MATHEMATICS, APPLIED | POINT-SPREAD FUNCTION | APPROXIMATION | IDENTIFICATION | INTERPOLATION | SOBOLEV SPACES | MATRICES | Mathematics | Information Theory | Engineering Sciences | Statistics | Numerical Analysis | Signal and Image processing

Journal Article

Journal of Inequalities and Applications, ISSN 1025-5834, 12/2015, Volume 2015, Issue 1, pp. 1 - 11

In this paper, an iterative algorithm is introduced to solve the split common fixed point problem for asymptotically nonexpansive mappings in Hilbert spaces....

Analysis | Mathematics, general | split common fixed point problem | Mathematics | Hilbert space | Applications of Mathematics | asymptotically nonexpansive mapping | strong convergence | algorithm | MATHEMATICS | MATHEMATICS, APPLIED | FEASIBILITY PROBLEM | SETS | CQ ALGORITHM | Theorems | Fixed points (mathematics) | Asymptotic properties | Inequalities | Iterative algorithms | Mapping | Convergence

Analysis | Mathematics, general | split common fixed point problem | Mathematics | Hilbert space | Applications of Mathematics | asymptotically nonexpansive mapping | strong convergence | algorithm | MATHEMATICS | MATHEMATICS, APPLIED | FEASIBILITY PROBLEM | SETS | CQ ALGORITHM | Theorems | Fixed points (mathematics) | Asymptotic properties | Inequalities | Iterative algorithms | Mapping | Convergence

Journal Article

Inventiones mathematicae, ISSN 0020-9910, 1/2017, Volume 207, Issue 1, pp. 23 - 113

We show in this paper that after proper scalings, the characteristic polynomial of a random unitary matrix converges to a random analytic function whose zeros,...

Mathematics, general | Mathematics | MATHEMATICS | AVERAGES | CHARACTERISTIC-POLYNOMIALS | RANDOM-MATRIX THEORY | MEAN-VALUES | LIMIT | PRIMES | ZEROS | Stochastic processes | Analytic functions | Dependence | Polynomials | Matrix theory | Number theory | Convergence | Functions (mathematics) | Theorems | Mathematical analysis | Scaling | Derivatives | Constraining | Probability | Mathematical Physics | Representation Theory

Mathematics, general | Mathematics | MATHEMATICS | AVERAGES | CHARACTERISTIC-POLYNOMIALS | RANDOM-MATRIX THEORY | MEAN-VALUES | LIMIT | PRIMES | ZEROS | Stochastic processes | Analytic functions | Dependence | Polynomials | Matrix theory | Number theory | Convergence | Functions (mathematics) | Theorems | Mathematical analysis | Scaling | Derivatives | Constraining | Probability | Mathematical Physics | Representation Theory

Journal Article

No results were found for your search.

Cannot display more than 1000 results, please narrow the terms of your search.