Dynamic programming optimizes the Matrix Chain Multiplication algorithm by _______.

  • Ignoring the order of multiplication.
  • Maximizing the number of matrices in the chain for better parallelization.
  • Minimizing the number of scalar multiplications required to compute the product of matrices.
  • Randomly rearranging the matrices before multiplication.
Dynamic programming optimizes the Matrix Chain Multiplication algorithm by minimizing the number of scalar multiplications required to compute the product of matrices. This is achieved through optimal parenthesization and storing intermediate results to avoid redundant calculations.
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