Subspace method - Globe Thesis

Keyword [Subspace method] Result: 61 - 80 \| Page: 4 of 5
61.	Researches On The Iterative Algorithms For Several Classes Of Matrix Equations And Tensor Equations
62.	Optimality Conditions,Noether Theorem For Fractional Variational Problems And Exact Solutions Of Fractional Differential Equations
63.	Iterative Solutions For Several Discretized Nonlinear Partial Differential Equations And Constrained Optimization Problems
64.	Some Exact Solutions Of Geometrical Flows And Generalized Tricomi Equation
65.	The Error Analysis Of The Krylov Subspace Methods For Computing The Bilinear Form Of Matrix Functions
66.	A Generalized Splitting Iterative Method For The Discrete Dynamic Linear System
67.	Lie Symmetry Analysis And Exact Solutions Of Fractional Differential Equations
68.	Kronecker Product Based Preconditioned Iterative Algorithms For High-dimensional Space-fractional Diffusion Equations
69.	Exact Solutions For Two Classes Of Nonlinear Fractional Partial Differential Equations
70.	Invariant Subspace And Lie Group Analysis For Several Kinds Of Nonlinear Partial Differential Equations
71.	The Exact Solutions Of Several Time Fractional Nonlinear Partial Differential Equations
72.	Research On Financial Risks Prediction: An Improved Random Subspace Method For Using Multi-source Heterogeneous Data
73.	Application Research Of Model Identification In Coordinated System Of Ultra Supercritical Unit Based On Subspace Method
74.	An Inverse Free Preconditioned Krylov Subspace Method For Computing Singular Value Of A Large Matrix
75.	Modulus-based Iterative Methods For Solving A Class Of Weakly Nonlinear Complementarity Problems
76.	The Solutions Of Two Kinds Of Time Fractional Partial Differential Equations
77.	Two Kinds Of Fast Algorithms For Large-scale Optimizations
78.	Weighting Matrices and Model Order Determination in Stochastic System Identification for Civil Infrastructure Systems
79.	A subspace method based on a differential equation approach to solve unconstrained optimization problems
80.	Preconditioned Iteration Methods For Two Kinds Of Linear Saddle Point Problems And Low-rank Parallelization Methods For Two Kinds Of Linear Matrix Equations
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