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2. Sufficient descent conjugate gradient methods for large-scale optimization problems.
3. Conjugate gradient methods based on secant conditions that generate descent search directions for unconstrained optimization
4. A new class of nonlinear conjugate gradient coefficients with global convergence properties
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