Mohit Tawarmalani
(pronounce)Journal Publications
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Kim, J., Richard, J.-P. P., & Tawarmalani, M. (2024, accepted). A reciprocity between tree ensemble optimization and multilinear optimization. Operations Research. URL
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He, T., Liu, S., & Tawarmalani, M. (2024, accepted). Convexification techniques for fractional programs. Mathematical Programming.
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He, T., & Tawarmalani, M. (2024, accepted). MIP relaxations in factorable programming. SIAM Journal on Optimization.
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Kim, J., Richard, J.-P. P., & Tawarmalani, M. (2024, accepted). Piecewise polyhedral relaxations of multilinear optimization. SIAM Journal on Optimization. URL
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Gooty, R. T., Agrawal, R., & Tawarmalani, M. (2024). Advances in MINLP to identify energy-efficient distillation configurations. Operations Research, 72, 639–659.
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Chen, Z., Tawarmalani, M., & Agrawal, R. (2024). Global minimization of power consumptions for multicomponent gas membrane cascades. Computers & Chemical Engineering, 180, 108464.
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Mathew, T. J., Narayanan, S., Jalan, A., Matthews, L. R., Gupta, H., Billimoria, R., Pereira, C. S., Goheen, C., Tawarmalani, M., & Agrawal, R. (2024). Optimization of distillation configurations for multicomponent-product distillations. Computers & Chemical Engineering, 108628.
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Mathew, T. J., Tawarmalani, M., & Agrawal, R. (2023). Relaxing the constant molar overflow assumption in distillation optimization. AIChE Journal, 69(9), e18125.
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Gooty, R. T., Mathew, T. J., Tawarmalani, M., & Agrawal, R. (2023). An MINLP formulation to identify thermodynamically-efficient distillation configurations. Computers & Chemical Engineering, 178, 108369.
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He, T., & Tawarmalani, M. (2022). Tractable relaxations of composite functions. Mathematics of Operations Research, 47(2), 1110–1140.
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Kim, J., Tawarmalani, M., & Richard, J.-P. P. (2022). Convexification of permutation-invariant sets and an application to sparse principal component analysis. Mathematics of Operations Research, 47(4), 2547–2584.
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Chandra, A., & Tawarmalani, M. (2022). Probability estimation via policy restrictions, convexification, and approximate sampling. Mathematical Programming, 196(1), 309–345.
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Chavez Velasco, J. A., Tawarmalani, M., & Agrawal, R. (2022). Which separation scenarios are advantageous for membranes or distillations? AIChE Journal, 68(11), e17839.
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Nogaja, A. S., Mathew, T. J., Tawarmalani, M., & Agrawal, R. (2022). Identifying heat-integrated energy-efficient multicomponent distillation configurations. Industrial & Engineering Chemistry Research, 61(37), 13984–13995.
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Jiang, Z., Tawarmalani, M., & Agrawal, R. (2022). Minimum reflux calculation for multicomponent distillation in multi-feed, multi-product columns: Mathematical model. AIChE Journal, 68(12), e17929.
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Mathew, T. J., Narayanan, S., Jalan, A., Matthews, L., Gupta, H., Billimoria, R., Pereira, C. S., Goheen, C., Tawarmalani, M., & Agrawal, R. (2022). Advances in distillation: Significant reductions in energy consumption and carbon dioxide emissions for crude oil separation. Joule, 6(11), 2500–2512.
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Nguyen, T. T., Richard, J.-P. P., & Tawarmalani, M. (2021). Convexification techniques for linear complementarity constraints. Journal of Global Optimization, 80, 249–286.
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He, T., & Tawarmalani, M. (2021). A new framework to relax composite functions in nonlinear programs. Mathematical Programming, 190, 427–466.
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Chavez Velasco, J. A., Tawarmalani, M., & Agrawal, R. (2021). Systematic analysis reveals thermal separations are not necessarily most energy intensive. Joule, 5(2), 330–343.
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Chavez Velasco, J. A., Gooty, R. T., Tawarmalani, M., & Agrawal, R. (2021). Optimal design of membrane cascades for gaseous and liquid mixtures via MINLP. Journal of Membrane Science, 636, 119514.
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Mathew, T. J., Tumbalam Gooty, R., Tawarmalani, M., & Agrawal, R. (2021). A simple criterion for feasibility of heat integration between distillation streams based on relative volatilities. Industrial & Engineering Chemistry Research, 60(28), 10286–10302.
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Kim, J., Tawarmalani, M., & Richard, J.-P. P. (2019). On cutting planes for cardinality-constrained linear programs. Mathematical Programming, 178, 417–448.
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Wu, J., Tawarmalani, M., & Kannan, K. N. (2019). Cardinality bundling with Spence–Mirrlees reservation prices. Management Science, 65(4), 1891–1908.
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Gooty, R. T., Agrawal, R., & Tawarmalani, M. (2019). An MINLP formulation for the optimization of multicomponent distillation configurations. Computers & Chemical Engineering, 125, 13–30.
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Jiang, Z., Mathew, T. J., Zhang, H., Huff, J., Nallasivam, U., Tawarmalani, M., & Agrawal, R. (2019). Global optimization of multicomponent distillation configurations: Global minimization of total cost for multicomponent mixture separations. Computers & Chemical Engineering, 126, 249–262.
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Jiang, Z., Chen, Z., Huff, J., Shenvi, A. A., Tawarmalani, M., & Agrawal, R. (2019). Global minimization of total exergy loss of multicomponent distillation configurations. AIChE Journal, 65(11), e16737.
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Mathew, T. J., Tumbalam Gooty, R., Tawarmalani, M., & Agrawal, R. (2019). 110th anniversary: Thermal coupling via heat transfer: A potential route to simple distillation configurations with lower heat duty. Industrial & Engineering Chemistry Research, 58(47), 21671–21678.
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Ramapriya, G. M., Tawarmalani, M., & Agrawal, R. (2018). A systematic method to synthesize all dividing wall columns for n-component separation: Part II. AIChE Journal, 64(2), 660–672.
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Nguyen, T. T., Richard, J.-P. P., & Tawarmalani, M. (2018). Deriving convex hulls through lifting and projection. Mathematical Programming, 169, 377–415.
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Ramapriya, G. M., Tawarmalani, M., & Agrawal, R. (2018). A systematic method to synthesize all dividing wall columns for n-component separation—part I. AIChE Journal, 64(2), 649–659.
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Jiang, Z., Ramapriya, G. M., Tawarmalani, M., & Agrawal, R. (2018). Minimum energy of multicomponent distillation systems using minimum additional heat and mass integration sections. AIChE Journal, 64(9), 3410–3418.
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Ramapriya, G. M., Selvarajah, A., Jimenez Cucaita, L. E., Huff, J., Tawarmalani, M., & Agrawal, R. (2018). Short-cut methods versus rigorous methods for performance-evaluation of distillation configurations. Industrial & Engineering Chemistry Research, 57(22), 7726–7731.
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Davarnia, D., Richard, J.-P. P., & Tawarmalani, M. (2017). Simultaneous convexification of bilinear functions over polytopes with application to network interdiction. SIAM Journal on Optimization, 27(3), 1801–1833.
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Kannan, K., Rahman, M. S., & Tawarmalani, M. (2016). Economic and policy implications of restricted patch distribution. Management Science, 62(11), 3161–3182.
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Ramapriya, G. M., Tawarmalani, M., & Agrawal, R. (2016). Thermal coupling links to liquid-only transfer streams: An enumeration method for new FTC dividing wall columns. AIChE Journal, 62(4), 1200–1211.
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Nallasivam, U., Shah, V. H., Shenvi, A. A., Huff, J., Tawarmalani, M., & Agrawal, R. (2016). Global optimization of multicomponent distillation configurations: 2. Enumeration based global minimization algorithm. AIChE Journal, 62(6), 2071–2086.
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Bao, X., Khajavirad, A., Sahinidis, N. V., & Tawarmalani, M. (2015). Global optimization of nonconvex problems with multilinear intermediates. Mathematical Programming Computation, 7(1), 1–37.
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Ramapriya, G. M., Shenvi, A. A., Tawarmalani, M., & Agrawal, R. (2015). A new framework for combining a condenser and reboiler in a configuration to consolidate distillation columns. Industrial & Engineering Chemistry Research, 54(42), 10449–10464.
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Gençer, E., Mallapragada, D. S., Maréchal, F., Tawarmalani, M., & Agrawal, R. (2015). Round-the-clock power supply and a sustainable economy via synergistic integration of solar thermal power and hydrogen processes. Proceedings of the National Academy of Sciences, 112(52), 15821–15826.
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Chung, K., Richard, J.-P. P., & Tawarmalani, M. (2014). Lifted inequalities for 0-1 mixed-integer bilinear covering sets. Mathematical Programming, 145(1), 403–450.
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Ramapriya, G. M., Tawarmalani, M., & Agrawal, R. (2014). Modified basic distillation configurations with intermediate sections for energy savings. AIChE Journal, 60(3), 1091–1097.
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Mallapragada, D. S., Tawarmalani, M., & Agrawal, R. (2014). Synthesis of augmented biofuel processes using solar energy. AIChE Journal, 60(7), 2533–2545.
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Ramapriya, G. M., Tawarmalani, M., & Agrawal, R. (2014). Thermal coupling links to liquid-only transfer streams: A path for new dividing wall columns. AIChE Journal, 60(8), 2949–2961.
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Tawarmalani, M., Richard, J.-P. P., & Xiong, C. (2013). Explicit convex and concave envelopes through polyhedral subdivisions. Mathematical Programming, 138(1), 531–577.
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Nallasivam, U., Shah, V. H., Shenvi, A. A., Tawarmalani, M., & Agrawal, R. (2013). Global optimization of multicomponent distillation configurations: 1. Need for a reliable global optimization algorithm. AIChE Journal, 59(3), 971–981.
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Bao, X., Sahinidis, N. V., & Tawarmalani, M. (2011). Semidefinite relaxations for quadratically constrained quadratic programming: A review and comparisons. Mathematical Programming, 129, 129–157.
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Tawarmalani, M., & Li, Y. (2011). Multi-period maintenance scheduling of tree networks with minimum flow disruption. Naval Research Logistics (NRL), 58(5), 507–530.
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Richard, J.-P. P., & Tawarmalani, M. (2010). Lifting inequalities: A framework for generating strong cuts for nonlinear programs. Mathematical Programming, 121, 61–104.
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Tawarmalani, M., Richard, J.-P. P., & Chung, K. (2010). Strong valid inequalities for orthogonal disjunctions and bilinear covering sets. Mathematical Programming, 124(1), 481–512.
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Bao, X., Sahinidis, N. V., & Tawarmalani, M. (2009). Multiterm polyhedral relaxations for nonconvex, quadratically constrained quadratic programs. Optimization Methods & Software, 24(4-5), 485–504.
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Tawarmalani, M., Kannan, K., & De, P. (2009). Allocating objects in a network of caches: Centralized and decentralized analyses. Management Science, 55(1), 132–147.
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Tawarmalani, M., & Sahinidis, N. V. (2005). A polyhedral branch-and-cut approach to global optimization. Mathematical Programming, 103(2), 225–249.
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Sahinidis, N. V., & Tawarmalani, M. (2005). Accelerating branch-and-bound through a modeling language construct for relaxation-specific constraints. Journal of Global Optimization, 32, 259–280.
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Tawarmalani, M., & Sahinidis, N. V. (2004). Global optimization of mixed-integer nonlinear programs: A theoretical and computational study. Mathematical Programming, 99(3), 563–591.
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Ahmed, S., Tawarmalani, M., & Sahinidis, N. V. (2004). A finite branch-and-bound algorithm for two-stage stochastic integer programs. Mathematical Programming, 100(2), 355–377.
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Sahinidis, N. V., Tawarmalani, M., & Yu, M. (2003). Design of alternative refrigerants via global optimization. AIChE Journal, 49(7), 1761–1775.
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Tawarmalani, M., & Sahinidis, N. V. (2002). Convex extensions and envelopes of lower semi-continuous functions. Mathematical Programming, 93(2), 247–263.
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Tawarmalani, M., Ahmed, S., & Sahinidis, N. V. (2002). Global optimization of 0-1 hyperbolic programs. Journal of Global Optimization, 24(4), 385–416.
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Tawarmalani, M., & Sahinidis, N. V. (2001). Semidefinite relaxations of fractional programs via novel convexification techniques. Journal of Global Optimization, 20, 133–154.
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Tawarmalani, M., Ahmed, S., & Sahinidis, N. V. (2001). Product disaggregation in global optimization and relaxations of rational programs. Optimization and Engineering.
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Sahinidis, N. V., & Tawarmalani, M. (2000). Applications of global optimization to process and molecular design. Computers & Chemical Engineering, 24(9-10), 2157–2169.
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Adhya, N., Tawarmalani, M., & Sahinidis, N. V. (1999). A lagrangian approach to the pooling problem. Industrial & Engineering Chemistry Research, 38(5), 1956–1972.