Numerical Experiments with an Interior-Exterior Point Method for Nonlinear Programming. - Igor Griva (Comput. Optim. Appl., 2004)

Primal-dual nonlinear rescaling method with dynamic scaling parameter update. - Igor Griva; Roman A. Polyak (Math. Program., 2006)

Support vector machine via nonlinear rescaling method. - Roman A. Polyak; Shen-Shyang Ho; Igor Griva (Optim. Lett., 2007)

Linear and Nonlinear Optimization (2. ed.). - Igor Griva; Stephen G. Nash; Ariela Sofer (SIAM, 2008)

Global convergence of a primal-dual interior-point method for nonlinear programming. - Igor Griva; David F. Shanno; Robert J. Vanderbei; Hande Y. Benson (Algorithmic Oper. Res., 2008)

1.5-Q-superlinear convergence of an exterior-point method for constrained optimization. - Igor Griva; Roman A. Polyak (J. Glob. Optim., 2008)

Online Optimization through Preprocessing for Multi-stage Production Decision Guidance Queries. - Nathan E. Egge; Alexander Brodsky 001; Igor Griva (ICDE Workshops, 2012)

Distributed Manufacturing Networks: Optimization via Preprocessing in Decision Guidance Query Language. - Nathan E. Egge; Alexander Brodsky 001; Igor Griva (Int. J. Decis. Support Syst. Technol., 2012)

An Efficient Preprocessing Algorithm to Speed-Up Multistage Production Decision Optimization Problems. - Nathan E. Egge; Alexander Brodsky 001; Igor Griva (HICSS, 2013)

Numerical Optimization Technique for Optimal Design of the n Grooves Surface Plasmon Grating Coupler. - Carmen Caiseda; Igor Griva; Luis Martínez; Kyle Shaw; Dan Weingarten (ICCS, 2014)

Exterior-Point Method for Support Vector Machines. - Veronica Bloom; Igor Griva; Byong Kwon; Anna-Rose Wolff (IEEE Trans. Neural Networks Learn. Syst., 2014)

A penalized regression approach to haplotype reconstruction of viral populations arising in early HIV/SIV infection. - Sivan Leviyang; Igor Griva; Sergio Ita; Welkin E. Johnson (Bioinform., 2017)

Using Affective Features from Media Content Metadata for Better Movie Recommendations. - John Kalung Leung; Igor Griva; William G. Kennedy (KDIR, 2020)

Making Use of Affective Features from Media Content Metadata for Better Movie Recommendation Making. - John Kalung Leung; Igor Griva; William G. Kennedy (CoRR, 2020)

Text-based Emotion Aware Recommender. - John Kalung Leung; Igor Griva; William G. Kennedy (CoRR, 2020)

Using Affective Aware Pseudo Association Method to Connect Disjoint Users and Items for Making Cross-Domain Recommendations. - John Kalung Leung; Igor Griva; William G. Kennedy (CoRR, 2020)

Unsupervised Selective Manifold Regularized Matrix Factorization. - Priya Mani; Carlotta Domeniconi; Igor Griva (SDM, 2021)

Applying the Affective Aware Pseudo Association Method to Enhance the Top-N Recommendations Distribution to Users in Group Emotion Recommender Systems. - John Kalung Leung; Igor Griva; William G. Kennedy (CoRR, 2021)

An Affective Aware Pseudo Association Method to Connect Disjoint Users Across Multiple Datasets - An Enhanced Validation Method for Text-based Emotion Aware Recommender. - John Kalung Leung; Igor Griva; William G. Kennedy (CoRR, 2021)

Optimizing Heterogeneous Maritime Search Teams using an Agent-based Model and Nonlinear Optimization Methods. - Jarrod Grewe; Igor Griva (ICORES, 2022)

Diversification across mining pools: optimal mining strategies under PoW. - Panagiotis Chatzigiannis; Foteini Baldimtsi; Igor Griva; Jiasun Li (J. Cybersecur., 2022)

The Application of Affective Measures in Text-Based Emotion Aware Recommender Systems. - John Kalung Leung; Igor Griva; William G. Kennedy; Jason M. Kinser; Sohyun Park; Seo Young Lee (DATA, 2023)

Modeling Missing Maritime Objects Using an Agent Based Model. - Jarrod Grewe; Igor Griva (ICORES, 2024)

Energy-Efficient Power Allocation in Multi-User mmWave Systems With Rate-Splitting Multiple Access. - Jared S. Everett; Mohammad Reza Fasihi; Igor Griva; Brian L. Mark (VTC Fall, 2024)

A Random Forest approach to detect and identify Unlawful Insider Trading. - Krishna Neupane; Igor Griva (CoRR, 2024)

Finding Equilibrium in Some Economics and Game Models. - Igor Griva; Roman A. Polyak (J. Optim. Theory Appl., 2025)