Mohit Tawarmalani

hear (pronounce)

Journal Publications

  1. Kim, J., Richard, J.-P. P., & Tawarmalani, M. (2024, accepted). A reciprocity between tree ensemble optimization and multilinear optimization. Operations Research. URL

  2. He, T., Liu, S., & Tawarmalani, M. (2024, accepted). Convexification techniques for fractional programs. Mathematical Programming.

  3. He, T., & Tawarmalani, M. (2024, accepted). MIP relaxations in factorable programming. SIAM Journal on Optimization.

  4. Kim, J., Richard, J.-P. P., & Tawarmalani, M. (2024, accepted). Piecewise polyhedral relaxations of multilinear optimization. SIAM Journal on Optimization. URL

  5. Gooty, R. T., Agrawal, R., & Tawarmalani, M. (2024). Advances in MINLP to identify energy-efficient distillation configurations. Operations Research, 72, 639–659.

  6. Chen, Z., Tawarmalani, M., & Agrawal, R. (2024). Global minimization of power consumptions for multicomponent gas membrane cascades. Computers & Chemical Engineering, 180, 108464.

  7. 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.

  8. Mathew, T. J., Tawarmalani, M., & Agrawal, R. (2023). Relaxing the constant molar overflow assumption in distillation optimization. AIChE Journal, 69(9), e18125.

  9. 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.

  10. He, T., & Tawarmalani, M. (2022). Tractable relaxations of composite functions. Mathematics of Operations Research, 47(2), 1110–1140.

  11. 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.

  12. Chandra, A., & Tawarmalani, M. (2022). Probability estimation via policy restrictions, convexification, and approximate sampling. Mathematical Programming, 196(1), 309–345.

  13. Chavez Velasco, J. A., Tawarmalani, M., & Agrawal, R. (2022). Which separation scenarios are advantageous for membranes or distillations? AIChE Journal, 68(11), e17839.

  14. 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.

  15. 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.

  16. 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.

  17. Nguyen, T. T., Richard, J.-P. P., & Tawarmalani, M. (2021). Convexification techniques for linear complementarity constraints. Journal of Global Optimization, 80, 249–286.

  18. He, T., & Tawarmalani, M. (2021). A new framework to relax composite functions in nonlinear programs. Mathematical Programming, 190, 427–466.

  19. 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.

  20. 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.

  21. 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.

  22. Kim, J., Tawarmalani, M., & Richard, J.-P. P. (2019). On cutting planes for cardinality-constrained linear programs. Mathematical Programming, 178, 417–448.

  23. Wu, J., Tawarmalani, M., & Kannan, K. N. (2019). Cardinality bundling with Spence–Mirrlees reservation prices. Management Science, 65(4), 1891–1908.

  24. Gooty, R. T., Agrawal, R., & Tawarmalani, M. (2019). An MINLP formulation for the optimization of multicomponent distillation configurations. Computers & Chemical Engineering, 125, 13–30.

  25. 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.

  26. 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.

  27. 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.

  28. 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.

  29. Nguyen, T. T., Richard, J.-P. P., & Tawarmalani, M. (2018). Deriving convex hulls through lifting and projection. Mathematical Programming, 169, 377–415.

  30. 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.

  31. 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.

  32. 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.

  33. 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.

  34. Kannan, K., Rahman, M. S., & Tawarmalani, M. (2016). Economic and policy implications of restricted patch distribution. Management Science, 62(11), 3161–3182.

  35. 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.

  36. 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.

  37. 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.

  38. 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.

  39. 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.

  40. 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.

  41. Ramapriya, G. M., Tawarmalani, M., & Agrawal, R. (2014). Modified basic distillation configurations with intermediate sections for energy savings. AIChE Journal, 60(3), 1091–1097.

  42. Mallapragada, D. S., Tawarmalani, M., & Agrawal, R. (2014). Synthesis of augmented biofuel processes using solar energy. AIChE Journal, 60(7), 2533–2545.

  43. 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.

  44. Tawarmalani, M., Richard, J.-P. P., & Xiong, C. (2013). Explicit convex and concave envelopes through polyhedral subdivisions. Mathematical Programming, 138(1), 531–577.

  45. 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.

  46. Bao, X., Sahinidis, N. V., & Tawarmalani, M. (2011). Semidefinite relaxations for quadratically constrained quadratic programming: A review and comparisons. Mathematical Programming, 129, 129–157.

  47. Tawarmalani, M., & Li, Y. (2011). Multi-period maintenance scheduling of tree networks with minimum flow disruption. Naval Research Logistics (NRL), 58(5), 507–530.

  48. Richard, J.-P. P., & Tawarmalani, M. (2010). Lifting inequalities: A framework for generating strong cuts for nonlinear programs. Mathematical Programming, 121, 61–104.

  49. 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.

  50. 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.

  51. Tawarmalani, M., Kannan, K., & De, P. (2009). Allocating objects in a network of caches: Centralized and decentralized analyses. Management Science, 55(1), 132–147.

  52. Tawarmalani, M., & Sahinidis, N. V. (2005). A polyhedral branch-and-cut approach to global optimization. Mathematical Programming, 103(2), 225–249.

  53. 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.

  54. Tawarmalani, M., & Sahinidis, N. V. (2004). Global optimization of mixed-integer nonlinear programs: A theoretical and computational study. Mathematical Programming, 99(3), 563–591.

  55. 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.

  56. Sahinidis, N. V., Tawarmalani, M., & Yu, M. (2003). Design of alternative refrigerants via global optimization. AIChE Journal, 49(7), 1761–1775.

  57. Tawarmalani, M., & Sahinidis, N. V. (2002). Convex extensions and envelopes of lower semi-continuous functions. Mathematical Programming, 93(2), 247–263.

  58. Tawarmalani, M., Ahmed, S., & Sahinidis, N. V. (2002). Global optimization of 0-1 hyperbolic programs. Journal of Global Optimization, 24(4), 385–416.

  59. Tawarmalani, M., & Sahinidis, N. V. (2001). Semidefinite relaxations of fractional programs via novel convexification techniques. Journal of Global Optimization, 20, 133–154.

  60. Tawarmalani, M., Ahmed, S., & Sahinidis, N. V. (2001). Product disaggregation in global optimization and relaxations of rational programs. Optimization and Engineering.

  61. Sahinidis, N. V., & Tawarmalani, M. (2000). Applications of global optimization to process and molecular design. Computers & Chemical Engineering, 24(9-10), 2157–2169.

  62. Adhya, N., Tawarmalani, M., & Sahinidis, N. V. (1999). A lagrangian approach to the pooling problem. Industrial & Engineering Chemistry Research, 38(5), 1956–1972.