Relaxed-inertial proximal point type algorithms for quasiconvex minimization. - Sorin-Mihai Grad; Felipe Lara 001; Raul Tintaya Marcavillaca (J. Glob. Optim., 2023)

An extragradient projection method for strongly quasiconvex equilibrium problems with applications. - Felipe Lara 001; Raul Tintaya Marcavillaca; Le Hai Yen (Comput. Appl. Math., 2024)

A Two-Step Proximal Point Algorithm for Nonconvex Equilibrium Problems with Applications to Fractional Programming. - Alfredo Noel Iusem; Felipe Lara 001; Raul Tintaya Marcavillaca; Le Hai Yen (J. Glob. Optim., 2024)

Relaxed-Inertial Proximal Point Algorithms for Nonconvex Equilibrium Problems with Applications. - Sorin-Mihai Grad; Felipe Lara 001; Raul Tintaya Marcavillaca (J. Optim. Theory Appl., 2024)

Strongly Quasiconvex Functions: What We Know (So Far). - Sorin-Mihai Grad; Felipe Lara 001; Raul Tintaya Marcavillaca (J. Optim. Theory Appl., 2025)

Characterizations, Dynamical Systems and Gradient Methods for Strongly Quasiconvex Functions. - Felipe Lara 001; Raul Tintaya Marcavillaca; Phan Tu Vuong (J. Optim. Theory Appl., 2025)

An Inexact Inertial Projective Splitting Algorithm with Strong Convergence. - Maicon Marques Alves; J. E. Navarro Caballero; Raul Tintaya Marcavillaca (J. Optim. Theory Appl., 2025)