v1.1.2

SDDP v1.1.2

Diff since v1.1.1

Closed issues:

• Simulate over the same Monte Carlo scenarios (#570)

Merged pull requests:

• [docs] add example_reservoir.jl (#572) (@odow)
• Prep for v1.1.2 (#573) (@odow)

v1.1.1

SDDP v1.1.1

Diff since v1.1.0

Closed issues:

• Markov chain leads to memory saturation (#568)
• Can your framework solve large scale problems (#569)

Merged pull requests:

• [docs] add notebooks (#571) (@odow)

v1.1.0

SDDP v1.1.0

Diff since v1.0.0

Merged pull requests:

• Add support for node_name_parser in write_to_file (#567) (@odow)

v1.0.0

SDDP v1.0.0

Diff since v0.4.9

Closed issues:

• Problem stalls if optimizer has attributes (#417)
• How SDDP works in an example? (#553)
• Release v1.0.0 (#560)

Merged pull requests:

• Add support for passing optimizer to Asynchronous (#545) (@odow)
• Add num_nodes argument to UnicyclicGraph (#562) (@odow)
• [docs] embed html plots into documentation (#563) (@odow)
• Prep for v1.0.0 (#564) (@odow)
• [docs] add vale as a linter (#565) (@odow)
• [docs] update how to initialize parallel scheme (#566) (@odow)

v0.4.9

SDDP v0.4.9

Diff since v0.4.8

Closed issues:

• A simple problem (#552)

Merged pull requests:

• [docs] remove misleading link paragraphs between tutorials (#554) (@odow)
• [docs] refactor into tutorial and explanation sections (#555) (@odow)
• [docs] add tutorial on Markov Decision Processes (#556) (@odow)
• [docs] add two-stage newsvendor tutorial (#557) (@odow)
• Update copyright 2023 (#558) (@odow)
• Prep for v0.4.9 (#559) (@odow)
• [docs] fixes to ARMA and objective state tutorials (#561) (@odow)

v0.4.8

SDDP v0.4.8

Diff since v0.4.7

Closed issues:

• Starting states for infinite horizon (#445)
• Try to recover on dual solution failure (#548)

Merged pull requests:

• Revert "Try to recover if we need dual solutions (#531)" (#546) (@odow)
• Fix caching state bug in cyclic forward passes (#547) (@odow)
• Add terminate_on_cycle option to Historical sampling scheme (#549) (@odow)
• Prep for v0.4.8 (#550) (@odow)
• Try to recover if we need a dual solution and experienced numerical issues (#551) (@odow)

v0.4.7

SDDP v0.4.7

Diff since v0.4.6

Closed issues:

• Ideas to improve multistage stochastic integer programs (#246)
• Add a way to force purge cuts (#268)
• SDDP with markov chain (#349)
• No output shown if dashboard is true, if running SDDP.train a 2nd time (#352)
• Add examples of Stochastic Optimal Control (#429)
• Document how to add auto-regressive stochastic process (#443)
• Save the cuts before throwing an error when we detect numerical issues (#469)
• Conic subproblem numerical issue (#477)
• Can a policy graph model MDPs? (#505)
• The simples dynamic problem that you can solve in sddp.jl. (#513)
• FileFormats not defined (#515)
• Documentation feedback (#516)
• Objective state errors are bad (#518)
• Cut matrices from a subproblem (#520)
• Optimal Path and Optimal Value (#524)
• Banish GLPK from the documentation (#526)
• Quit forward pass on ctrl+c (#527)
• Simple Infinite Horizon Discrete Time non-stochastic problem (#528)
• Add airline scheduling tutorial (#529)
• Incorporate the information N stages before in subproblems (#530)
• Start InSampleMonteCarlo at a given node (#532)

Merged pull requests:

• Update license headers (#519) (@odow)
• Fix broken link in air conditioning example (#521) (@conema)
• Update JuliaFormatter (#522) (@odow)
• Variable Naming in Deterministic Equivalent (#525) (@lucasprocessi)
• Try to recover if we need dual solutions (#531) (@bfpc)
• Update dependencies (#533) (@odow)
• Throw InterruptException when solver is interrupted (#534) (@odow)
• Add support for initial_node in InSampleMonteCarlo and OutOfSampleMonteCarlo (#535) (@odow)
• Add a changelog (#536) (@odow)
• Save cuts before throwing error (#537) (@odow)
• Fix re-use of dashboard between solves (#538) (@odow)
• Fix default stage objective (#539) (@odow)
• Fix error on inconsistent input to add_objective_state (#540) (@odow)
• Update changelog for v0.4.7 (#541) (@odow)
• [docs] update citation for entropic paper (#542) (@odow)
• Add doc_cleanup.yml (#543) (@odow)
• Fix documentation of risk measures (#544) (@odow)

v0.4.6

SDDP v0.4.6

Diff since v0.4.5

Merged pull requests:

• Update to JuMP 1.0 (#517) (@odow)

v0.4.5

SDDP v0.4.5

Diff since v0.4.4

Closed issues:

• Train model with Asynchronous mode (#492)
• Cut-sharing property (#493)
• SDDP.simulate with known realization (#494)
• set_silent does not work in a subproblem (#495)
• Error after updating to SDDP.jl 0.4.4 (#497)
• Small typo (#498)
• Simulating the policy section (#499)
• Objective states - error in the example (#503)
• GARCH? (#504)
• Is there a way to efficiently add deterministic node in policy graph? (#508)
• Constraint information log in SDDP (#509)
• Update to JuMP v0.23 (#512)

Merged pull requests:

• Fix #498 (#500) (@odow)
• Fix typos in First Steps (#501) (@odow)
• Fix test failures (#502) (@odow)
• [docs] fix typo in objective state tutorial (#506) (@odow)
• [docs] add auto-regressive tutorial (#507) (@odow)
• Fix issue with set_silent in a subproblem (#510) (@odow)
• Typo \cup-\cap (#511) (@bfpc)
• Update to JuMP v0.23 (#514) (@odow)

v0.4.4

SDDP v0.4.4

Diff since v0.4.3

Closed issues:

• Add cut selection for objective and belief states (#326)
• read_cuts_from_file does not load cuts into the BellmanFunction (#360)
• Add code from biobjective paper (#461)
• Loading and writing cuts from files (#467)
• Historical Simulation (#485)

Merged pull requests:

• WIP: entropic paper (#460) (@odow)
• WIP: biobjective paper (#463) (@odow)
• Save states in write_cuts_to_file (#468) (@odow)
• Fix BoundStalling for deterministic policy (#470) (@odow)
• Add BanditDuality handler (#471) (@odow)
• Fixed typos (#472) (@vfdev-5)
• Minor formatting updates (#473) (@odow)
• Fix behavior of BoundStalling stopping rule (#474) (@odow)
• Add scripts for A/B benchmarking (#475) (@odow)
• Fix the benchmark script and add a model (#476) (@odow)
• Switch to a functional form for the tests (#478) (@odow)
• Refactoring of bellman functions for concave cut selection (#479) (@odow)
• Update brazilian example (#480) (@odow)
• Add extra cut to Lagrangian problem (#481) (@odow)
• Another improvement for lagrangian (#482) (@odow)
• Fix magnitude warning with zero coefficients (#483) (@odow)
• Remove bound-hack in StrengthenedConicDuality (#486) (@odow)
• Use modified BFGS to solve Lagrangian (#487) (@odow)
• BuMP to JuMP v0.22 (#489) (@odow)
• Update benchmarks (#490) (@odow)