A new polynomial-time algorithm for linear programming
Combinatorica
A strongly polynomial algorithm to solve combinatorial linear programs
Operations Research
Journal of Combinatorial Theory Series A
Geometric Complexity Theory I: An Approach to the P vs. NP and Related Problems
SIAM Journal on Computing
Geometric Complexity Theory II: Towards Explicit Obstructions for Embeddings among Class Varieties
SIAM Journal on Computing
On P vs. NP and geometric complexity theory: Dedicated to Sri Ramakrishna
Journal of the ACM (JACM)
Geometric complexity theory III: on deciding nonvanishing of a Littlewood---Richardson coefficient
Journal of Algebraic Combinatorics: An International Journal
The GCT program toward the P vs. NP problem
Communications of the ACM
Geometric complexity theory III: on deciding nonvanishing of a Littlewood---Richardson coefficient
Journal of Algebraic Combinatorics: An International Journal
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We point out that the positivity of a Littlewood---Richardson coefficient $c^{\gamma}_{\alpha, \beta}$ for sl n can be decided in strongly polynomial time. This means that the number of arithmetic operations is polynomial in n and independent of the bit lengths of the specifications of the partitions 驴,β, and 驴, and each operation involves numbers whose bitlength is polynomial in n and the bit lengths 驴,β, and 驴.Secondly, we observe that nonvanishing of a generalized Littlewood---Richardson coefficient of any type can be decided in strongly polynomial time assuming an analogue of the saturation conjecture for these types, and that for weights 驴,β,驴, the positivity of $c^{ 2\gamma}_{2\alpha, 2\beta}$ can (unconditionally) be decided in strongly polynomial time.