Produce candidate decisions
SpinForge and compatible cut, binary, MIP, MaxSAT, scheduling or routing engines supply candidate plans under their own model contracts.
Two decisions can have nearly the same immediate cost yet leave very different recovery options. Where future flexibility is part of the agreed objective, compare materially different responses under explicitly modeled scenarios.
The products retain their available interfaces. These connections describe integration and evaluation opportunities—not a claim that every combined runtime has been delivered.
The existing research implementation measures spin-glass overlap structure, not merely the score. Connecting that analysis to useful candidate panels or recourse requires a domain-specific diversity and acceptance definition.
Explore the eleven products ↗The cheapest present plan can commit every scarce resource. A large collection of nominal alternatives may still fail under the same future event, or contain many equivalent copies of the same real choice.
Combine appropriate candidate search, admitted counting or distribution analysis, and bounded sequential or quantified planning. Assess distinct useful responses, not the raw number of solver outputs.
An explicit view of the trade-off between immediate performance and permitted future flexibility.
Existing components have distinct jobs. The proposed integration connects their responsibilities without treating access interfaces as proof of a shared runtime.
SpinForge and compatible cut, binary, MIP, MaxSAT, scheduling or routing engines supply candidate plans under their own model contracts.
certcount and certnum: log-Z concern supported partition quantities; exact counting concerns admitted discrete models. Neither is a universal sampler or robustness guarantee.
ValueForge/certnum: MDP address modeled probabilistic transitions. UNISOLVE QBF addresses certain quantified choices while preserving decision and observation order.
sinkhorn_ot or CertOT can contribute admitted transport comparisons. Marginal checks do not establish that the real-world distribution was modeled correctly.
A local browser illustration of the idea. No customer model is uploaded and no SpinForge engine is invoked.
A conceptual comparison of decision criteria, not an executed scenario study. The customer must approve the actual future events, probabilities or worst-case criterion, protected requirements and permitted recourse.
Not another mandatory product license. Scope the model, integration, acceptance and deployment needed for the actual customer workload.
Define relevant future events, action timing and permissible recovery choices.
Identify equivalent choices and evaluate genuinely different options.
Compare immediate objectives with the agreed scenario or recourse measure.
Return the applicable value, counting, constraint or strategy checks and unresolved outcomes.
Compare a low-cost plan that uses all available capacity with a permitted alternative that reserves a recovery path. Flexibility only counts when its scenarios, probability or worst-case criterion are explicit.
Documented components and proposed cross-product work are not the same evidence.
Candidate, counting, transport, MDP and quantified-game capabilities are documented separately. The option-preserving customer workflow is proposed and needs its own application validation.
Scenario models, equivalence/diversity rules, sequential decision semantics and supported candidate-to-planner interfaces.
More assignments do not automatically mean greater resilience. Symmetry duplicates must not inflate useful diversity. Exact counting may cost more than optimization. A bounded quantified strategy is not a complete physical controller or an unrestricted future guarantee.
Choose only the components that fit. Original and upgrade products are not additive speedups. No generalized benefit, hosted activation, certification or execution authority is implied.
These links identify candidate contributors. They do not mean every product is required or that every connector already exists.
Start with an original model or workload, an accepted baseline and the protected requirements. Agree the comparison before promising a system-level gain.
One capability. A connected workflow.
A team to put it into practice.