Agamemnon in Herodotus and Thucydides: Exploring the historical uses of a mythological paradigm
This paper explores the use of the myth of Agamemnon in Herodotus and Thucydides. I argue that the deployment of Agamemnon in their works is shaped by, and sheds additional light on, the historians’ attitude toward myth (and its use in rhetoric), their narrative aims and historical outlook. Herodotus’ readiness to embrace myth in both narrative and speeches, his representation of complex motivation, his description of the conflict between the Greeks and the Persians, and his panhellenic outlook, influence the function of Agamemnon: as king of Sparta and the leader of the Greeks in the Trojan War, he reflects the idealistic and pragmatic motivation of the Spartans in the context of the Persian Wars. Agamemnon’s function in Thucydides is different since it is affected by the general avoidance of mythological argument – especially in rhetoric – and its merely relative significance, the description of a war between the Greeks, Thucydides’ pragmatism, and his writing for posterity: aptly replaced by Sparta’s Dorianism in the context of the war against Athens, Agamemnon becomes a contemporary tyrant king who may represent any city or individual yearning for power and empire.
Myth and Territory in the Spartan Mediterranean
Introduction 1. The 'colony of the Dorians' and the Return of the Herakleidai 2. The Homeric king of Sparta: Menelaos in a Spartan Mediterranean 3. Spartan colonisation in the Aegean and the Peloponnese 4. Taras: native hostility, territorial possession, and a new-ancient past 5. Foundation and territory: the cults of Apollo Karneios and Zeus Ammon 6. Myth and colonial territory: Libya 7. Promises unfulfilled: Dorieus between North Africa and Sicily 8. Myth and decolonization: Sparta's colony at Herakleia Trachinia.
Robust solutions of inverse problems in electromagnetic non-destructive evaluation
Non-destructive testing (NDT) is the application of physical measurement technology based on energy interaction with the material and its nonconformities. The material's response is sensed by transducers and sensors which?in most cases?scan the component and document the results in inspection images. However, NDT measures a physically defined quantity or even an intrinsic property. The difference between non-destructive evaluation (NDE) and NDT is in the interpretation of the inspection data. NDE has to discuss the inspection results in terms of quality elements and characteristics which are relevant to describe the fitness of the material for use. In the case of macroscopic defects these are the kind of defect (cracklike, globular) and its size and orientation to the main stress directions; in the case of material property determination the parameters are mainly mechanical properties. Therefore, in NDE one has to solve inverse problems. The solution of inverse problems based on mathematical procedures such as integral equations is a strong developing discipline and most of the articles prepared for this special issue of the journal have the objective of discussing the latest state of the art in that field. However, practical NDE needs robust and quick solutions which are to be applied mainly online. Therefore, we present here inversion procedures based on multiple linear regression algorithms applied to inspection data. We describe the calibration procedure to fit the free parameters of the model functions and give examples of practical applications in industry.