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Add remark in docs about forward interpolation
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hajduakos committed Jul 17, 2020
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2 changes: 1 addition & 1 deletion build.gradle.kts
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Expand Up @@ -10,7 +10,7 @@ buildscript {

allprojects {
group = "hu.bme.mit.inf.theta"
version = "1.2.0"
version = "1.3.0"

apply(from = rootDir.resolve("gradle/shared-with-buildSrc/mirrors.gradle.kts"))
}
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2 changes: 1 addition & 1 deletion subprojects/cfa-cli/README.md
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Expand Up @@ -64,7 +64,7 @@ If the limit is exceeded, unknown values are propagated.
As a special case, `0` stands for infinite, but it should only be used if the model does not have any variable with unbounded domain.
In general, values between `5` to `50` perform well (see Section 3.1.1 of [our JAR paper](https://link.springer.com/content/pdf/10.1007%2Fs10817-019-09535-x.pdf) for more information).
- `--refinement`: Refinement strategy, possible values:
- `FW_BIN_ITP`: Forward binary interpolation, only a reference implementation, does not perform well.
- `FW_BIN_ITP`: Forward binary interpolation, only performs well if `--prunestrategy` is `FULL`.
- `BW_BIN_ITP`: Backward binary interpolation (see Section 3.2.1 of [our JAR paper](https://link.springer.com/content/pdf/10.1007%2Fs10817-019-09535-x.pdf) for more information.
- `SEQ_ITP`: Sequence interpolation.
- `MULTI_SEQ`: Sequence interpolation with multiple counterexamples (see Section 3.2.2 of [our JAR paper](https://link.springer.com/content/pdf/10.1007%2Fs10817-019-09535-x.pdf) for more information).
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2 changes: 1 addition & 1 deletion subprojects/sts-cli/README.md
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Expand Up @@ -54,7 +54,7 @@ All arguments are optional, except `--model`.
- `--search`: Search strategy in the abstract state space, possible values:
- `BFS`, `DFS`: Standard breadth- and depth-first search.
- `--refinement`: Refinement strategy, possible values:
- `FW_BIN_ITP`: Forward binary interpolation, only a reference implementation, does not perform well.
- `FW_BIN_ITP`: Forward binary interpolation, only performs well if `--prunestrategy` is `FULL`.
- `BW_BIN_ITP`: Backward binary interpolation (see Section 3.2.1 of [our JAR paper](https://link.springer.com/content/pdf/10.1007%2Fs10817-019-09535-x.pdf) for more information.
- `SEQ_ITP`: Sequence interpolation.
- `MULTI_SEQ`: Sequence interpolation with multiple counterexamples (see Section 3.2.2 of [our JAR paper](https://link.springer.com/content/pdf/10.1007%2Fs10817-019-09535-x.pdf) for more information).
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