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Professor Walter Murray is recognized for his extensive research in numerical optimization, numerical linear algebra, and sparse matrix methods, including optimization software applications. He has authored several significant works, including notable books on Practical Optimization and Optimization Numerical Linear Algebra and has contributed to academic literature with over eighty published papers. Beyond his academic pursuits at Stanford, Professor Murray has accumulated considerable consulting experience across various sectors including industry, government, and commerce.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.