文件名称:cvx-w32

  • 所属分类:
  • matlab例程
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2014-01-22
  • 文件大小:
  • 13.35mb
  • 下载次数:
  • 0次
  • 提 供 者:
  • hpw***
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CVX-一款在matlab中,用于解决计算包括凸优化等问题,支持线性优化和二次方优化以及半正定算法。-CVX is a modeling system for constructing and solving disciplined convex programs (DCPs). CVX supports

a number of standard problem types, including linear and quadratic programs (LPs/QPs), second-order

cone programs (SOCPs), and semidefinite programs (SDPs).
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下载文件列表





cvx

...\structures

...\..........\cvx_s_symmetric.m

...\..........\cvx_s_sparse.m

...\..........\cvx_s_complex.m

...\..........\cvx_s_upper_hankel.m

...\..........\cvx_create_structure.m

...\..........\cvx_s_skew_symmetric.m

...\..........\cvx_s_lower_hessenberg.m

...\..........\cvx_replicate_structure.m

...\..........\cvx_s_banded.m

...\..........\cvx_s_upper_hessenberg.m

...\..........\cvx_s_symmetric_ut.m

...\..........\cvx_s_lower_triangular.m

...\..........\cvx_s_lower_bidiagonal.m

...\..........\Contents.m

...\..........\@cvx

...\..........\....\structures.m

...\..........\cvx_s_hankel.m

...\..........\cvx_s_diagonal.m

...\..........\cvx_s_tridiagonal.m

...\..........\cvx_s_upper_bidiagonal.m

...\..........\cvx_s_hermitian.m

...\..........\cvx_orthog_structure.m

...\..........\cvx_invert_structure.m

...\..........\cvx_s_scaled_identity.m

...\..........\cvx_s_upper_triangular.m

...\..........\cvx_s_toeplitz.m

...\cvx_version.m

...\keywords

...\........\hypograph.m

...\........\integer.m

...\........\minimize.m

...\........\subject.m

...\........\In.m

...\........\variables.m

...\........\expressions.m

...\........\minimise.m

...\........\Contents.m

...\........\dual.m

...\........\maximise.m

...\........\variable.m

...\........\maximize.m

...\........\binary.m

...\........\expression.m

...\........\epigraph.m

...\cvx_startup.m

...\cvx_license.p

...\sets

...\....\complex_lorentz.m

...\....\semidefinite.m

...\....\nonneg_poly_coeffs.m

...\....\geo_mean_cone.m

...\....\simplex.m

...\....\hermitian_semidefinite.m

...\....\nonnegative.m

...\....\Contents.m

...\....\rotated_lorentz.m

...\....\exponential.m

...\....\rotated_complex_lorentz.m

...\....\convex_poly_coeffs.m

...\....\lorentz.m

...\....\norm_ball.m

...\gurobi

...\......\w32

...\......\...\gurobi.mexw32

...\......\...\gurobi56.dll

...\......\...\grbgetkey.exe

...\......\EULA.pdf

...\shims

...\.....\cvx_sdpt3.m

...\.....\cvx_sedumi.m

...\.....\cvx_mosek.p

...\.....\cvx_gurobi.p

...\examples

...\........\min_phase_spectral_fact.m

...\........\examples.css

...\........\bullet.gif

...\........\simple_LS.m

...\........\sparse_heuristics

...\........\.................\sparse_solution.m

...\........\.................\sparse_infeas_dual.m

...\........\.................\html

...\........\.................\....\sparse_infeas.html

...\........\.................\....\sparse_solution.html

...\........\.................\....\sparse_infeas_dual.html

...\........\.................\....\sparse_solution__01.png

...\........\.................\Contents.m

...\........\.................\sparse_infeas.m

...\........\regularized_norm_tradeoff.m

...\........\quickstart.m

...\........\simple_LP.m

...\........\html

...\........\....\min_phase_spectral_fact.html

...\........\....\quickstart.html

...\........\....\closest_toeplitz_psd.html

...\........\....\regularized_norm_tradeoff__02.png

...\........\....\simple_LP.html

...\........\....\equality_constr_norm_min.html

...\........\....\regularized_norm_tradeoff__01.png

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